Skip to main content

A Python library to interact with the Archive-It's API

Project description

$\color{Red}\Huge{\textsf{🚨THIS LIBRARY IS UNDER ACTIVE DEVELOPMENT. USE AT YOUR OWN RISK.🚨}}$

📦 Pyarchiveit

Pyarchiveit is a Python library designed to interact with the Internet Archive's Archive-it API. It provides a simple interface to manage the seeds and collections within Archive-it accounts.

✨ Features

  • Create and update seeds with metadata validation
  • Retrieve seed lists with their metadata for single or multiple collections

📥 Installation

You can install the library using pip:

pip install pyarchiveit

Or use uv if you have it installed:

uv add pyarchiveit

💡 Quick Start

See the Getting Started guide for detailed installation and initialization instructions.

Create a new seed with metadata

metadata = [
    {"value": "Example Metadata 1"},
    {"value": "Example Metadata 2"}
]
new_seed = archive_it_client.create_seed(
    collection_id=123456,
    url='http://example.com',
    crawl_definition_id=789012,
    other_params=None,
    metadata=metadata
)

Update an existing seed's metadata

updated_metadata = [
    {"value": "Updated Metadata 1"},
    {"value": "Updated Metadata 2"}
]
updated_seed = archive_it_client.update_seed_metadata(
    seed_id=123456,
    metadata=updated_metadata
)

Retrieve seed lists

# Get seed list of a collection
seeds = archive_it_client.get_seeds(collection_ids=123456)

# Or get seeds from multiple collections
seeds = archive_it_client.get_seeds(collection_ids=[123456, 789012])

📚 Documentation

Visit the documentation site for complete guides and API reference.

⚫ Support

For questions or support, please open an issue on the GitHub repository.

🖊️ Author

Ken Lui - Data Curation Specialist at Map & Data Library, University of Toronto

📄 License

This project is licensed under the GNU GPLv3 - see the LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyarchiveit-0.4.0.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyarchiveit-0.4.0-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file pyarchiveit-0.4.0.tar.gz.

File metadata

  • Download URL: pyarchiveit-0.4.0.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.9.7

File hashes

Hashes for pyarchiveit-0.4.0.tar.gz
Algorithm Hash digest
SHA256 a7de5224a0c4d01a17286d12dfeefa5df32224422a94796a839a44820d4716b3
MD5 44dd2d7de2f9a5eb8fe6660cae7207b6
BLAKE2b-256 c03ff82fefff0d54f1d61902b0d3348e51df7d7ec8943ea28ea5dddf4b9cd8ff

See more details on using hashes here.

File details

Details for the file pyarchiveit-0.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pyarchiveit-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30396ca32fedbe96e08e1fd6d12787f16696ae618988cef9f8395e277d084355
MD5 353eaac903fb3cf98f345ab6d3db969a
BLAKE2b-256 8f2b222e8df87a2385736313f423aab314b100a5610e6f2099a45acd5a4f4113

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page